{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/hoonhout/Python/VirtualEnvs/ci/lib/python3.6/site-packages/matplotlib/__init__.py:1405: UserWarning: \n",
      "This call to matplotlib.use() has no effect because the backend has already\n",
      "been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,\n",
      "or matplotlib.backends is imported for the first time.\n",
      "\n",
      "  warnings.warn(_use_error_msg)\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import re\n",
    "import seaborn as sns\n",
    "import oceanwaves\n",
    "import xarray as xr\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# From significant wave height to directional spectrum, and back"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 4) m\n"
     ]
    },
    {
     "data": {
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TMA84E1heDlsOnFWO2WZ7DbBrTD62XWtVLNurgJ3jpN9p+4G9vaaIiEEZxJTs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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ad3d550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# measurement times\n",
    "time     = [datetime(2013,12,1),\n",
    "            datetime(2014,12,2)]\n",
    "\n",
    "# measurement locations\n",
    "location = [(0,0),(0,1),(1,1),(.5,.5)]\n",
    "\n",
    "# initialize OceanWaves object\n",
    "ow = oceanwaves.OceanWaves(time=time,\n",
    "                           time_var='datetime',\n",
    "                           location=location,\n",
    "                           crs='epsg:28992',\n",
    "                           energy_units='m',\n",
    "                           energy_var='waveheight')   # note we are defining wave heights here!\n",
    "\n",
    "ow['_energy'].values = np.random.rand(*ow.shape) * 10.    # random wave heights\n",
    "\n",
    "# plot data and print shape and units\n",
    "ow.plot()\n",
    "print(ow.shape, ow.units)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 4, 99) m^2 Hz^-1\n"
     ]
    },
    {
     "data": {
      "image/png": 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p5Zp6h1PN77lL0qqS9nGqRtEVkk4GHgbeBiBpL2AlsCvQK+lMqlXnZgLfqdpaTAb+3faz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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fa4dc18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# convert wave heights to wave spectrum with JONSWAP shape\n",
    "frequency = np.arange(0,1.,.01)\n",
    "ow_spc = ow.as_spectral(frequency, shape='jonswap')\n",
    "\n",
    "# plot data and print shape and units\n",
    "ow_spc.plot(col='location')\n",
    "print(ow_spc.shape, ow_spc.units)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 4, 99, 72) m^2 Hz^-1 deg^-1\n"
     ]
    },
    {
     "data": {
      "image/png": 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7zYGbAMy04PwrAGwsbb8D4LOL/WzT0Zg9dQVWpCn5YKp/7aZWttttjmKehBjF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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fc31828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# convert omnidirectional wave spectrum to directional wave spectrum\n",
    "theta = np.arange(0., 360., 5.)\n",
    "ow_dir = ow_spc.as_directional(theta, s=5)\n",
    "\n",
    "# plot data and print shape and units\n",
    "ow_dir.plot(col='location', row='datetime')\n",
    "print(ow_dir.shape, ow_dir.units)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/hoonhout/Python/VirtualEnvs/ci/lib/python3.6/site-packages/xarray/core/variable.py:1180: RuntimeWarning: invalid value encountered in true_divide\n",
      "  self.values = f(self_data, other_data)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 4, 99) m^2 Hz^-1\n"
     ]
    },
    {
     "data": {
      "image/png": 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p5Zp6h1PN77lL0qqS9nGqRtEVkk4GHgbeBiBpL2AlsCvQK+lMqlXnZgLfqdpaTAb+3faz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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10feed128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# convert directional wave spectrum back to omnidirectional wave spectrum\n",
    "ow_omn = ow_dir.as_omnidirectional()\n",
    "\n",
    "# plot data and print shape and units\n",
    "ow_omn.plot(col='location')\n",
    "print(ow_omn.shape, ow_omn.units)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 4) m\n"
     ]
    },
    {
     "data": {
      "image/png": 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V9x0AzJN0hO3vAafS4QJzRERv9Pk4AdsrJK0afo+kabZ3dnjLycDbgfWS1pW0D1J9+V8n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\n/x9QA/uAPCcbIwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c20b0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# convert wave spectrum to significant wave heights\n",
    "ow_Hs = ow_omn.Hm0()\n",
    "\n",
    "# plot data and print shape and units\n",
    "ow_Hs.plot()\n",
    "print(ow_Hs.shape, ow_Hs.units)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Other conversions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 4) s\n"
     ]
    },
    {
     "data": {
      "image/png": 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AMkkTqG4IrrF9k6QlwNoyL+1K4O8kPUy1iOu72hWaYBER0WumYxPubA873cD2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\nUH1uYPBdqQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110af65f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# convert wave spectrum to wave period\n",
    "ow_Tm02 = ow_omn.Tm02()\n",
    "\n",
    "# plot data and print shape and units\n",
    "ow_Tm02.plot()\n",
    "print(ow_Tm02.shape, ow_Tm02.units)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 4, 72) m deg^-1\n"
     ]
    },
    {
     "data": {
      "image/png": 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gdQsJoF3XdCs60ZNY1+Ft994C4DxbJzkswOf1nd8V7n/veu8ZBSeI4GQU0ha2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\nA8NjQ1cPuZ9tvCrGoa6kJYXR5KEkgDsX+95UxHR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      "text/plain": [
       "<matplotlib.figure.Figure at 0x110a32048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# convert significant wave height to directional waves\n",
    "theta = np.arange(0., 360., 5.)\n",
    "ow_dir2 = ow.as_directional(theta, s=5)\n",
    "\n",
    "# plot data and print shape and units\n",
    "ow_dir2.plot(col='datetime') # location is on the radials...\n",
    "                             # ... and energy is still in m\n",
    "print(ow_dir2.shape, ow_dir2.units)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot spectra on map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.projections.polar.PolarAxes at 0x10fcf0390>,\n",
       " <matplotlib.projections.polar.PolarAxes at 0x1109e74e0>,\n",
       " <matplotlib.projections.polar.PolarAxes at 0x110b29ba8>,\n",
       " <matplotlib.projections.polar.PolarAxes at 0x110a2cbe0>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/hoonhout/Python/VirtualEnvs/ci/lib/python3.6/site-packages/matplotlib/colors.py:496: RuntimeWarning: invalid value encountered in less\n",
      "  cbook._putmask(xa, xa < 0.0, -1)\n"
     ]
    },
    {
     "data": {
      "image/png": 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INBSRt0Vkp6qQr76QhvKE2C7mJSBFRJYCNwKFj4WdBSwUkfk4DdSuUdVcd9q1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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fe7eac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot spectra on a map\n",
    "ow_dir[dict(datetime=0)].plot.spatial_map(scale=.3, subplot_kw=dict(projection='polar'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read SWaN spectra and tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x110565b38>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x110a1ada0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fa632b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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43Vc5+IFb7yd5pjJCgAgqzf8ZE5Ha68jrQ4/snPKzAcwB+BXJ+0XkV604UVdC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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fe48d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110a1a6a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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j1JoEEUV/dls44ovtIdlntT3tBklbIpS8LVHsUY5RixJgBOuyOwMRX+xukuus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      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ffb62b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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jiEiM9NXC+O/g80+jXUgqK8jOSIgb99ydP7z+AT9asIqcUDp3XnUic6aU9fs6Qwdlcf7U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\nEfn/AcqLAF2OkpqmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b8e6d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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6MDm3N4ldsGdwJAu3sbf8/HxXUFDgdwwRCWH7DtZx5Z8WsW1PDX+74zSG9+3p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\nCiIi0kylICIizVQKIiLSTKUgIiLN/j+dEoHacVaD5QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fe4e1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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iMgB6p3dicmg0cPag7nRKjA9rjsaoFEREgHfWFnPz4wWcm5fFQzfkkxDftjPx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\nH5A4gzVz8lcDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10b8b6128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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lx1seO/kc8Jqe3EMHCTgREU1iw9COatvofggcJmmepL0pVmB5weMjkg5q2T0F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\napGAExERtUjAiYiIWvx/JnBDaJohtXEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110b69978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import oceanwaves\n",
    "\n",
    "fig = plt.figure()\n",
    "ow = oceanwaves.OceanWaves.from_swan('../data/swan/P1.SP1')\n",
    "ow.plot()\n",
    "\n",
    "fig = plt.figure()\n",
    "theta = np.arange(0., 360., 5.)\n",
    "ow = oceanwaves.OceanWaves.from_swan('../data/swan/P1b.SP1').as_directional(theta)\n",
    "ow.plot(col='location')\n",
    "\n",
    "fig = plt.figure()\n",
    "ow = oceanwaves.OceanWaves.from_swan('../data/swan/P1.SP2')\n",
    "ow.plot(col='location')\n",
    "\n",
    "fig = plt.figure()\n",
    "ow = oceanwaves.OceanWaves.from_swantable('../data/swan/P1.TAB')\n",
    "ow.plot()\n",
    "\n",
    "fig = plt.figure()\n",
    "ow = oceanwaves.OceanWaves.from_swantable('../data/swan/TBL1.tbl',\n",
    "                                          columns=['Xp','Yp','Botlev','Hsig','RTpeak','TPsmoo','Tm01','Tm02'])\n",
    "ow.plot()\n",
    "\n",
    "fig = plt.figure()\n",
    "ow = oceanwaves.OceanWaves.from_swantable('../data/swan/TBL2.tbl')\n",
    "ow.plot()\n",
    "\n",
    "fig = plt.figure()\n",
    "ow = oceanwaves.OceanWaves.from_swantable('../data/swan/TBL2NS.tbl')\n",
    "ow.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Write SWaN spectra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def print_contents(fname, context=5):\n",
    "    \n",
    "    with open(fname, 'r') as fp:\n",
    "        for line in fp:\n",
    "            if re.match('[A-Z]+', line):\n",
    "                n = context + 1\n",
    "            if n > 0:\n",
    "                print(line.strip())\n",
    "            if n == 0:\n",
    "                print('...')\n",
    "            n -= 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SWAN    1\n",
      "LOCATIONS\n",
      "5\n",
      "30000.00  404500.00\n",
      "35800.00  404000.00\n",
      "35800.00  404500.00\n",
      "36844.00  402839.00\n",
      "...\n",
      "AFREQ\n",
      "19\n",
      "0.0500\n",
      "0.1000\n",
      "0.1500\n",
      "0.2000\n",
      "...\n",
      "QUANT\n",
      "3\n",
      "VaDens\n",
      "m^2 s\n",
      "-99.0\n",
      "NDIR\n",
      "deg\n",
      "-999\n",
      "DSPRDEGR\n",
      "deg\n",
      "-9\n",
      "LOCATION    0\n",
      "0.000000e+00 0.000000e+00 0.000000e+00\n",
      "2.919913e-52 0.000000e+00 0.000000e+00\n",
      "1.385679e-09 0.000000e+00 0.000000e+00\n",
      "7.018271e-03 0.000000e+00 0.000000e+00\n",
      "2.346729e-01 0.000000e+00 0.000000e+00\n",
      "...\n",
      "LOCATION    1\n",
      "3.057220e-186 0.000000e+00 0.000000e+00\n",
      "2.003751e-10 0.000000e+00 0.000000e+00\n",
      "8.086666e-02 0.000000e+00 0.000000e+00\n",
      "1.496664e+00 0.000000e+00 0.000000e+00\n",
      "8.780767e-01 0.000000e+00 0.000000e+00\n",
      "...\n",
      "LOCATION    2\n",
      "1.355230e-85 0.000000e+00 0.000000e+00\n",
      "2.399738e-04 0.000000e+00 0.000000e+00\n",
      "9.226379e-01 0.000000e+00 0.000000e+00\n",
      "1.818685e+00 0.000000e+00 0.000000e+00\n",
      "5.836393e-01 0.000000e+00 0.000000e+00\n",
      "...\n",
      "LOCATION    3\n",
      "2.549411e-186 0.000000e+00 0.000000e+00\n",
      "1.670925e-10 0.000000e+00 0.000000e+00\n",
      "6.743457e-02 0.000000e+00 0.000000e+00\n",
      "1.248066e+00 0.000000e+00 0.000000e+00\n",
      "7.322267e-01 0.000000e+00 0.000000e+00\n",
      "...\n",
      "LOCATION    4\n",
      "2.640473e-186 0.000000e+00 0.000000e+00\n",
      "1.730609e-10 0.000000e+00 0.000000e+00\n",
      "6.984326e-02 0.000000e+00 0.000000e+00\n",
      "1.292645e+00 0.000000e+00 0.000000e+00\n",
      "7.583810e-01 0.000000e+00 0.000000e+00\n",
      "...\n"
     ]
    }
   ],
   "source": [
    "ow = oceanwaves.OceanWaves.from_swantable('../data/swan/P1.TAB')\n",
    "ow = ow[dict(Location=range(5))]\n",
    "\n",
    "frequency = np.arange(0,1.,.05)\n",
    "ow_spc = ow.as_spectral(frequency, shape='jonswap')\n",
    "ow_spc.to_swan('P1.SP1')\n",
    "print_contents('P1.SP1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SWAN    1\n",
      "LOCATIONS\n",
      "5\n",
      "30000.00  404500.00\n",
      "35800.00  404000.00\n",
      "35800.00  404500.00\n",
      "36844.00  402839.00\n",
      "...\n",
      "AFREQ\n",
      "19\n",
      "0.0500\n",
      "0.1000\n",
      "0.1500\n",
      "0.2000\n",
      "...\n",
      "NDIR\n",
      "12\n",
      "0.00\n",
      "30.00\n",
      "60.00\n",
      "90.00\n",
      "...\n",
      "QUANT\n",
      "1\n",
      "VaDens\n",
      "m^2 s\n",
      "-99.0\n",
      "FACTOR\n",
      "3.131590e-08\n",
      "0        0        0        0        0        0        0        0        0        0        0        0\n",
      "0        0        0        0        0        0        0        0        0        0        0        0\n",
      "0        0        0        0        0        0        0        0        0        0        0        0\n",
      "5776     2814      180        0        0        0        0        0        0        0      180     2814\n",
      "...\n",
      "FACTOR\n",
      "3.857757e-08\n",
      "0        0        0        0        0        0        0        0        0        0        0        0\n",
      "0        0        0        0        0        0        0        0        0        0        0        0\n",
      "54031    26320     1688        0        0        0        0        0        0        0     1688    26320\n",
      "999999   487138    31249        0        0        0        0        0        0        0    31249   487138\n",
      "...\n",
      "FACTOR\n",
      "4.687788e-08\n",
      "0        0        0        0        0        0        0        0        0        0        0        0\n",
      "131       64        4        0        0        0        0        0        0        0        4       64\n",
      "507309   247130    15853        0        0        0        0        0        0        0    15853   247130\n",
      "999999   487138    31249        0        0        0        0        0        0        0    31249   487138\n",
      "...\n",
      "FACTOR\n",
      "3.216977e-08\n",
      "0        0        0        0        0        0        0        0        0        0        0        0\n",
      "0        0        0        0        0        0        0        0        0        0        0        0\n",
      "54031    26320     1688        0        0        0        0        0        0        0     1688    26320\n",
      "999999   487138    31249        0        0        0        0        0        0        0    31249   487138\n",
      "...\n",
      "FACTOR\n",
      "3.331884e-08\n",
      "0        0        0        0        0        0        0        0        0        0        0        0\n",
      "0        0        0        0        0        0        0        0        0        0        0        0\n",
      "54031    26320     1688        0        0        0        0        0        0        0     1688    26320\n",
      "999999   487138    31249        0        0        0        0        0        0        0    31249   487138\n",
      "...\n"
     ]
    }
   ],
   "source": [
    "theta = np.arange(0., 360., 30)\n",
    "ow_dir = ow_spc.as_directional(theta, s=5)\n",
    "ow_dir.to_swan('P1.SP2')\n",
    "print_contents('P1.SP2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Write netCDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ow_dir.to_netcdf('P1.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read Datawell files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading of Datawell files is not yet implemented\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    ow = oceanwaves.OceanWaves.from_datawell('../data/datawell/example.dat')\n",
    "except NotImplementedError as e:\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Reading WaveDroid files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading of WaveDroid files is not yet implemented\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    ow = oceanwaves.OceanWaves.from_wavedroid('../data/wavedroid/example.dat')\n",
    "except NotImplementedError as e:\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Unit conversion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "m\n",
      "m\n",
      "m\n",
      "m\n",
      "m\n",
      "m\n",
      "m + NAP\n",
      "m\n",
      "s\n"
     ]
    }
   ],
   "source": [
    "print(oceanwaves.units.simplify('m^2 / m'))\n",
    "print(oceanwaves.units.simplify('m ^ 2 / m'))                               # test spaces\n",
    "print(oceanwaves.units.simplify('m2 / m'))                                  # test missing exponents\n",
    "print(oceanwaves.units.simplify('m^3 / (m * m)'))                           # test groups\n",
    "print(oceanwaves.units.simplify('m^4 / (m * (m / m^-1))'))                  # test nested groups\n",
    "print(oceanwaves.units.simplify('m^5 / (m * m)^2'))                         # test group exponents\n",
    "print(oceanwaves.units.simplify('m^5 / (m * m)^2 + NAP'))                   # test terms\n",
    "print(oceanwaves.units.simplify('(kg * m^2 * s^2)^2 / (kg^2 * m^3 * s^4)')) # multiple units\n",
    "print(oceanwaves.units.simplify('(m^2 / Hz) * m^-2'))                       # hertz to seconds conversion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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